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# Sr. AI Data Center Network Engineer

- **Company:** VISION INFOTECH INC.
- **Location:** Melrose, United States (Remote available)
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Artificial Intelligence, Border Gateway Protocol, Big Data, Common Lisp Object Systems, Computer Clusters, System Configuration, Data Centers, Distributed Systems, Ethernet, General-Purpose Computing on Graphics Processing Units, InfiniBand, Network Layer, Machine Learning, Network Architecture, Routing, Network Segmentation, Virtual Local Area Networks, AI Infrastructure, High Performance Computing, Computer Network Technologies, Juniper, Data Center Networking, Low Latency, Model Inference, Open Network Automation Platform, Cisco
- **Published:** October 30, 2026
- **Apply:** https://www.dice.com/job-detail/baaaca7a-b39c-4bc8-8843-a6422d796dee

## About the Role

This individual will play a critical role in building and optimizing the network infrastructure required for large-scale AI training, inference, and high-performance computing (HPC) workloads. The ideal candidate will have strong experience with data center networking, high-speed Ethernet, InfiniBand, network automation, and distributed computing environments., * Experience supporting AI data centers, GPU clusters, machine learning infrastructure, or high-performance computing environments.

 * 3+ years of hands-on experience designing, configuring, deploying, or troubleshooting enterprise data center networks.
 * Experience supporting high-performance networking environments utilizing 100GbE or higher-speed networking technologies.
 * Strong understanding of Layer 2 and Layer 3 networking, including switching, routing, VLANs, BGP, and network segmentation.
 * Experience with data center network architectures, including Spine-Leaf and Clos topologies.
 * Experience configuring and troubleshooting enterprise networking hardware from vendors such as Cisco, Arista, Juniper, or NVIDIA.

## Description

Our client is seeking an experienced AI Data Center Network Engineer to design, implement, configure, and maintain high-performance network infrastructure supporting enterprise-scale artificial intelligence, machine learning, and GPU computing environments., * Design, deploy, and maintain scalable network infrastructure supporting AI/ML training clusters, GPU computing environments, and high-performance computing workloads.

 * Engineer high-bandwidth, low-latency network architectures optimized for distributed AI workloads and large-scale GPU communication.
 * Design and implement Spine-Leaf, Clos, and other scalable data center network topologies.
 * Support network infrastructure connecting GPU servers, AI accelerators, storage systems, and compute clusters.
 * Develop network architectures supporting east-west traffic, distributed model training, AI inference, and large-scale data movement.
 * Evaluate and implement networking technologies supporting AI infrastructure expansion and next-generation data center environments.
 * Collaborate with architecture teams to establish network standards, capacity planning, and infrastructure scalability requirements